Information theory: from coding to learning
Auteur :
Polyanskiy, Yury / Wu, Yihong
Éditeur :
Cambridge University Press
ISBN :
9781108832908
Date de publication :
2 janv. 2025
Dimensions :
26,1 x 18,2 x 4,3 cm
Poids :
1780 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
This enthusiastic introduction to the fundamentals of information theory builds from classical Shannon theory through to modern applications in statistical learning. Includes over 210 student exercises, emphasising practical applications in statistics, machine learning and modern communication theory. Accompanied by online instructor solutions.